Plotly

Here are some plots for our website.

Today, we’re making interactive plots in plotly. We’ll make examples using the Instacart data from the p8105.datasets package.

library(tidyverse)

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library(p8105.datasets)
library(dplyr)
library(flexdashboard)
knitr::opts_chunk$set(echo = TRUE)
library(plotly)

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data("Instacart")

## Warning in data("Instacart"): data set 'Instacart' not found

janitor::clean_names(instacart)

Initial data cleaning/subsetting.

I decided to keep three variables: order_hour_of_day, department, days_since_prior_order.

instacart_ = 
  instacart |> 
  select(order_hour_of_day, department, days_since_prior_order)

Use plotly to make a histogram plot, a box plot, and a bar graph. First, we are making a histogram to see the distribution of orders by hour. The most orders were placed at 2pm.

Histogram

instacart_ |> 
  plot_ly( 
    x = ~order_hour_of_day, type = "histogram", 
    marker = list(color = "pink",line = list(color = "grey",width = 2))) |>
  layout(title = "Hours At Which Orders Were Placed",
         xaxis = list(title = "Order Hours"),
         yaxis = list(title = "Frequency"))

Boxplot

Next up - We are making a box plot. We are looking at department by the number of days since prior order.

instacart |> 
  plot_ly(
    x = ~department, y = ~days_since_prior_order, color = ~department,
    type = "box")

Bar Chart

Let’s do a bar chart with number of orders by department. Produce has the highest number of orders.

instacart |> 
  count(department) |> 
  mutate(department = fct_reorder(department, n)) |> 
  plot_ly(
    x = ~ department, y = ~n, color = ~department,
    type = "bar")